{"id":9329,"date":"2025-07-31T15:26:48","date_gmt":"2025-07-31T15:26:48","guid":{"rendered":"https:\/\/plagiarismcheck.org\/blog\/?p=9329"},"modified":"2025-11-13T18:39:44","modified_gmt":"2025-11-13T18:39:44","slug":"openai-text-classifier-why-do-we-need-a-better-solution","status":"publish","type":"post","link":"https:\/\/plagiarismcheck.org\/blog\/openai-text-classifier-why-do-we-need-a-better-solution\/","title":{"rendered":"OpenAI Text Classifier: Why Do We Need A Better Solution?"},"content":{"rendered":"<h2><span style=\"font-weight: 400;\">3 main concerns of OpenAI\u2019s text classifier<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">A new round of humans against the machines is here: OpenAI, the company behind <a href=\"https:\/\/plagiarismcheck.org\/blog\/gpt-4-5-openais-most-interesting-model-yet\/\" target=\"_blank\" rel=\"noopener\">ChatGPT<\/a>, has a text classifier, aimed at determining human- and AI-written content. This was their reaction to educators\u2019 discussions about ChatGPT and its possible impact on academic integrity.<\/span> Does it really work? There are several concerns to consider.<\/p>\n<h2><span style=\"font-weight: 400;\">#1. Low accuracy<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">And by low, we mean \u201cCan\u2019t be trusted. At this stage, at least.\u201d<\/span> <span style=\"font-weight: 400;\">The developers themselves admit the tool can detect correctly only 26% of the text, composed by AI. This makes the classifier fail to detect artificial content in 74% of cases. At the same time, it \u201csucceeds\u201d at labeling 9% of texts, prepared by real people, as machine-generated.<\/span> <span style=\"font-weight: 400;\">Here\u2019s one of the examples of how the tool misses identifying an AI-written text: <a href=\"https:\/\/www.youtube.com\/watch?v=IozIPw-hu9U\" target=\"_blank\" rel=\"noopener\">OpenAI AI Text Classifier &#8211; A GPT finetuned model to detect ChatGPT and AI Plagiarism<\/a>.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">One of the reasons for the high number of false positives and negatives can be the dataset behind the technology, as the classifier was trained only on the texts of the same topic, created by AI and people.<\/span><\/p>\n<p><iframe loading=\"lazy\" title=\"OpenAI AI Text Classifier - A GPT finetuned model to detect ChatGPT and AI Plagiarism\" width=\"500\" height=\"375\" src=\"https:\/\/www.youtube.com\/embed\/IozIPw-hu9U?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h2><span style=\"font-weight: 400;\">#2. Making student\u2019s work available to the public<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">To make large language models like GPT-3 smarter and more precise, you need to \u201cfeed\u201d them more content.\u00a0<\/span> <span style=\"font-weight: 400;\">OpenAI in general and its products in particular use the datasets from public access. Thus, when you submit your student\u2019s paper to their classifier, it can be added to that dataset. From that moment, the assignment goes live and becomes potentially available to thousands of other users whose prompts will be specific enough.\u00a0<\/span> <span style=\"font-weight: 400;\">Next time some other student asks ChatGPT to generate an essay with a similar title or instructions, they can get a paraphrased or even an exact match of the paper you\u2019ve submitted.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">#3. Lightning-fast learning<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Of AI, not people, unfortunately. The main concern here is that GPT-3 and other AI models are learning from each prompt. The more people interact with them and correct the outputs, the better results they deliver next time.<\/span> <span style=\"font-weight: 400;\">Same story with your students\u2019 papers: getting more inputs, ChatGPT can produce more human-like assignments. As a result, it may be harder to spot the text&#8217;s origin. The antidot to this is developing AI detecting software alond with AI technology evolvement.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Any solution to that?\u00a0<\/span><\/h2>\n<p>Modern market offers multiple tools to provide accurate AI detection. <a href=\"https:\/\/plagiarismcheck.org\/ai-detector\/\" target=\"_blank\" rel=\"noopener\">TraceGPT<\/a> by PlagiarismCheck.org is one of them. It provides:<\/p>\n<ul>\n<li>97% accuracy;<\/li>\n<li>security: the submitted content is never published elsewhere or used to train AI model;<\/li>\n<li>constant updates and improvements;<\/li>\n<li>downloadable report where potentially AI content is highlighted.<\/li>\n<\/ul>\n<p><strong>Why is it essential to distinguish AI-generated content from human-generated text? How can AI content detectors help businesses avoid risks and unlock their full potential? Let\u2019s explore some of the key benefits.<\/strong><\/p>\n<h2>1. Distinguishing AI-Generated Content increases trust<\/h2>\n<p>Readers, customers, and stakeholders can be guaranteed to know who created the content: an AI model or a specific author. This allows businesses to ensure reliability and authenticity in their written materials.<\/p>\n<h2>2. Ensuring Originality and Uniqueness<\/h2>\n<p>Is originality vital to you? Guarantee the uniqueness of the content and style of your content. Something genuinely innovative, currently only the human brain can create, artificial intelligence \u2013 only repeats existing patterns and available information. Provide truly innovative ideas and unconventional visions. Deliver fresh and distinctive materials.<\/p>\n<h2>3. Mitigating Reputational Risks and Maintaining Credibility<\/h2>\n<p>Avoid the reputational risks of publishing or promoting unlabeled and potentially unreliable AI-generated content. A clear definition of AI-generated text ensures transparency and adherence to leading ethical practices. In addition, avoid risks due to possible misinformation, fake sources, or plagiarism, which are possible when using some AI models.<\/p>\n<p>Maintain High Editorial Standards, audience trust, and brand reputation.<\/p>\n<h2>4. Streamlining Content Moderation<\/h2>\n<p>AI text detectors assist content platforms and media streamline their content moderation processes. These detectors can quickly identify AI-generated spam, fake product reviews, or low-quality content, allowing moderators to review and remove such materials efficiently. It helps maintain the integrity and trustworthiness of the platform or publication.<\/p>\n<h2>5. Unlocking AI\u2019s Full Potential<\/h2>\n<p>By using\u00a0AI content detectors, businesses can leverage the full potential of AI technologies while mitigating associated risks. These detectors enable organizations to embrace AI-generated content responsibly and transparently. They can unlock new possibilities for content creation, automation, and innovation while maintaining control and oversight over the content generated by AI models.<\/p>\n<p>To<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-26965\" src=\"https:\/\/plagiarismcheck.org\/blog\/wp-content\/uploads\/2023\/02\/Open-AI-text-clas.png\" alt=\"openai text classifier\" width=\"1080\" height=\"1080\" srcset=\"https:\/\/plagiarismcheck.org\/blog\/wp-content\/uploads\/2023\/02\/Open-AI-text-clas.png 1080w, https:\/\/plagiarismcheck.org\/blog\/wp-content\/uploads\/2023\/02\/Open-AI-text-clas-300x300.png 300w, https:\/\/plagiarismcheck.org\/blog\/wp-content\/uploads\/2023\/02\/Open-AI-text-clas-1024x1024.png 1024w, https:\/\/plagiarismcheck.org\/blog\/wp-content\/uploads\/2023\/02\/Open-AI-text-clas-150x150.png 150w, https:\/\/plagiarismcheck.org\/blog\/wp-content\/uploads\/2023\/02\/Open-AI-text-clas-768x768.png 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/p>\n<p>Moreover, to deliver accurate results, the detector should recognize the latest GPT models, like Sora, which are able to generate not only text.<\/p>\n<h2>What is Sora ChatGPT?<\/h2>\n<p>Let\u2019s start the\u00a0Sora ChatGPT onboarding\u00a0with fundamentals. Sora is a system that can understand and generate content across different types of media.<\/p>\n<p>Without going into too much technical detail (because you don\u2019t need to know all the algorithms the system relies on to use it effectively), Sora can translate abstract concepts into visual content and ensure that objects, characters, and scenes remain coherent as they change throughout the video.<\/p>\n<h2>Key points so far<\/h2>\n<p>So,\u00a0what is Sora in ChatGPT\u2019s\u00a0<a href=\"https:\/\/plagiarismcheck.org\/blog\/gpt-4-5-openais-most-interesting-model-yet\/\" target=\"_blank\" rel=\"noopener\">ecosystem<\/a>? Here are the three points you need to remember for now:<\/p>\n<ul>\n<li aria-level=\"1\"><b>What you provide<\/b>: Text descriptions or image references.<\/li>\n<li aria-level=\"1\"><b>What you get<\/b>: High-resolution video (typically 1 minute).<\/li>\n<li aria-level=\"1\"><b>The tool\u2019s capabilities<\/b>: Realistic motion, complex physics, and visual consistency.<\/li>\n<\/ul>\n<p>To answer your question on\u00a0how to use Sora ChatGPT\u00a0when you already have images you want to turn into videos, it\u2019s possible to do so by adding motion or effects, as well as by extending the scene beyond its original frame. You can also modify existing videos by changing styles or completely reimagining scenes.<\/p>\n<p>Thanks to the language expertise of the\u00a0OpenAI Sora text-to-video model, it can understand nuance and intent in prompts, which means that you can add layered instructions and indirect references when working on visual content creation. It\u2019s one of the key functions that distinguishes Sora from simpler prompt-based tools.<\/p>\n<h2>How you can use it<\/h2>\n<p>Although Sora is still in limited access as of now, you can start using it if you have an active subscription to one of these premium OpenAI services:<\/p>\n<ul>\n<li aria-level=\"1\"><b>ChatGPT Plus<\/b>. The standard premium subscription provides access to GPT-4 and priority access to new features, including\u00a0ChatGPT Sora.<\/li>\n<li aria-level=\"1\"><b>ChatGPT Pro<\/b>. This is a higher-tier subscription with enhanced capabilities and higher usage limits.<\/li>\n<\/ul>\n<p>Now, it\u2019s time for you to find out how to create videos much faster than you did before.<\/p>\n<ul>\n<li aria-level=\"1\"><b>Sora turns text (and images) into video.\u00a0<\/b>Now, every content creator can get access to visual storytelling without spending a fortune on the necessary tools.<\/li>\n<li aria-level=\"1\"><b>Detailed prompts lead to better results<\/b>. Use the chance to think like a director when you describe your scene to Sora.<\/li>\n<li aria-level=\"1\"><b>Sora understands context, tone, and structure<\/b>, which is much like ChatGPT, but video-based rather than text-based.<\/li>\n<li aria-level=\"1\"><b>You should use it responsibly<\/b>\u00a0to stay mindful of ethical concerns around realism, privacy, and content use.<\/li>\n<li aria-level=\"1\"><b>Sora is still evolving<\/b>, so you can expect improvements, new features, and wider access in the future.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"3 main concerns of OpenAI\u2019s text classifier A new round of humans against the machines is here: OpenAI, the company behind ChatGPT, has a text classifier, aimed at determining human- and AI-written content. This was their reaction to educators\u2019 discussions about ChatGPT and its possible impact on academic integrity. Does it really work? There are [&hellip;]","protected":false},"author":6,"featured_media":26989,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[355],"tags":[335,333,339,341,255,257,253,243],"plag_author":[385],"table_tags":[],"class_list":["post-9329","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-chat-gpt","tag-chatgpt","tag-detect-ai-writing","tag-detect-chat-gpt","tag-open-ai","tag-open-ai-gpt","tag-open-ai-gpt-3","tag-openai","plag_author-samuel-lee"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/posts\/9329","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/comments?post=9329"}],"version-history":[{"count":13,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/posts\/9329\/revisions"}],"predecessor-version":[{"id":27893,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/posts\/9329\/revisions\/27893"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/media\/26989"}],"wp:attachment":[{"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/media?parent=9329"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/categories?post=9329"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/tags?post=9329"},{"taxonomy":"plag_author","embeddable":true,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/plag_author?post=9329"},{"taxonomy":"table_tags","embeddable":true,"href":"https:\/\/plagiarismcheck.org\/blog\/wp-json\/wp\/v2\/table_tags?post=9329"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}